python-sdk
The official Python SDK for Model Context Protocol servers and clients
Overview
The official Python SDK for implementing Model Context Protocol (MCP) servers and clients. MCP is a protocol that enables AI assistants to securely connect to external data sources and tools through a standardized interface. This SDK provides a comprehensive framework for building MCP servers that can expose resources, tools, prompts, and other capabilities to AI clients like Claude Desktop. It supports both high-level FastMCP for rapid development and low-level implementations for advanced use cases. The SDK handles authentication, structured output, context management, and various transport methods including stdio and HTTP. With features like elicitation, sampling, logging, and ASGI server integration, it enables developers to create sophisticated AI-enabled applications that can safely interact with external systems, databases, APIs, and services while maintaining security and standardization.
Pros
- + Official implementation with comprehensive MCP protocol support including resources, tools, prompts, and structured output capabilities
- + Multiple deployment options from development mode to production ASGI server integration with Claude Desktop compatibility
- + Advanced features like context management, authentication, elicitation, sampling, and streamable HTTP transport for flexible AI integration
Cons
- - Currently in version transition with v2 being pre-alpha and in development, potentially causing breaking changes
- - Complexity may be overkill for simple AI tool integrations that don't need full MCP protocol compliance
Use Cases
- • Building MCP servers to connect AI assistants to databases, APIs, or file systems with standardized security
- • Creating AI-enabled applications that need structured tool calling and resource access capabilities
- • Integrating existing ASGI web applications with MCP protocol support for AI assistant connectivity